Web scraping, structured and unstructured data extraction, API automation pipelines, and scheduled data delivery - built to run reliably at scale, not just once.
The data you need for competitive intelligence, pricing analysis, market research, or operational automation often lives on websites, in APIs, or buried in PDFs and unstructured documents. Getting it into a structured, queryable format - reliably and at scale - is a software engineering problem, not just a scraping problem.
At DynamicUnit, we build extraction pipelines that run on a schedule, handle site changes gracefully, validate output quality, and deliver data in the format your downstream systems need - whether that's a database, a data warehouse, a CSV, or a live API. We work within legal and ethical boundaries, respecting robots.txt, rate limits, and GDPR requirements at every stage.
Extracted data often requires cleansing and deduplication before it's useful. We handle that as part of the pipeline - so what arrives in your systems is structured, validated, and ready for analysis. For clients feeding scraped data into analytical platforms, we also build the data lake or warehouse layer downstream.
Need to move extracted data into an existing ERP or CRM? Our data migration team ensures it lands cleanly in the target system with proper field mapping and validation.
Competitor pricing, product catalogue, and review data extracted across marketplaces - feeding pricing engines, analytics warehouses, and inventory systems.
Stock data, economic indicators, regulatory filings, and alternative data feeds extracted and structured for quantitative analysis and compliance monitoring.
Listing data, rental prices, and property attributes extracted from portals for market analysis, valuation models, and investment research.
Shipping rates, carrier availability, and customs data extracted from carrier portals and government APIs - integrated with ERP procurement modules.
From simple website scraping to complex multi-source API orchestration - here's what our data extraction practice delivers.
Custom scraper development for static and JavaScript-rendered sites - using Playwright, Selenium, or Scrapy depending on the target complexity and volume requirements.
Automated extraction from REST, GraphQL, and SOAP APIs - with authentication, pagination handling, rate-limit management, and incremental refresh logic.
Extract structured data from PDFs, Word documents, Excel files, and HTML reports - using OCR, layout parsing, and NLP for unstructured content.
Track competitor pricing, product availability, reviews, and ranking across multiple marketplaces - with scheduled refresh and change detection alerts.
Extract financial reports, stock data, economic indicators, and regulatory filings - structured for direct loading into analytical databases or trading systems.
Deploy extraction jobs on cloud infrastructure (AWS, GCP, Azure) with scheduling, monitoring, alerting, and automatic retry on failure.
Apply validation rules, format standardisation, and deduplication logic at extraction time - so downstream systems receive clean, consistent data.
Monitor running pipelines and update scrapers when target site structures change - preventing silent failures that leave your data pipeline delivering stale or empty results.
Anyone can build a web scraper that works on day one. The hard part is building one that still works when the target site updates its layout, adds bot detection, or changes its pagination. Here's how we approach durability.
We respect robots.txt, ToS restrictions, and rate limits. We don't scrape what you're not permitted to access - and we document why each target is within scope.
Every running scraper has output volume monitoring. If a scraper starts returning zero results or anomalous data, we get alerted before your downstream system breaks.
Target sites change their layouts - we include maintenance in our engagements so scrapers are updated when that happens, not left to fail silently.
Extraction output is validated against expected schemas, record counts, and value ranges before delivery - so you know the data is correct, not just present.
We deploy on cloud infrastructure with proper scheduling, secrets management, and logging - not a script running on someone's laptop that stops when they close it.
We scope the extraction targets, delivery format, and refresh schedule upfront - and deliver to that specification without open-ended hourly billing.
We review each target source for legal compliance, technical feasibility, anti-bot measures, and data structure. You get a clear scope document with confirmed extraction targets and delivery format.
We build custom extractors with proper error handling, rate limiting, and output validation. Data cleansing logic is built into the pipeline so output arrives structured and deduplicated.
We run the pipeline on live targets, validate output against expected schemas and record counts, and confirm data quality before deploying to production infrastructure.
Pipelines are deployed to cloud infrastructure with scheduling, monitoring, and alerting. We maintain scrapers when target sites change - so your data flow doesn't break silently.
Tell us what you need, where it lives, and how often - we'll scope a pipeline that delivers it cleanly and keeps delivering it.
